Fei Huang

8.8k total citations · 2 hit papers
190 papers, 6.5k citations indexed

About

Fei Huang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Fei Huang has authored 190 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 56 papers in Cancer Research and 49 papers in Oncology. Recurrent topics in Fei Huang's work include Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (17 papers) and TGF-β signaling in diseases (16 papers). Fei Huang is often cited by papers focused on Cancer-related molecular mechanisms research (24 papers), MicroRNA in disease regulation (17 papers) and TGF-β signaling in diseases (16 papers). Fei Huang collaborates with scholars based in China, United States and Germany. Fei Huang's co-authors include Ye‐Guang Chen, Moshe Talpaz, John Nicoll, Charles L. Sawyers, Hagop M. Kantarjian, Arthur P. DeCillis, Nicholas J. Donato, Jörge E. Cortes, Ron Paquette and Claude Nicaise and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Fei Huang

186 papers receiving 6.4k citations

Hit Papers

Dasatinib in Imatinib-Resistant Philadelphia Chromosome–P... 2005 2026 2012 2019 2006 2005 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fei Huang China 35 3.2k 1.7k 1.5k 1.3k 977 190 6.5k
Shinya Kimura Japan 45 2.6k 0.8× 2.1k 1.3× 683 0.5× 2.1k 1.7× 1.3k 1.3× 427 7.1k
Anne‐Marie Mes‐Masson Canada 50 4.4k 1.4× 2.7k 1.7× 1.9k 1.3× 741 0.6× 515 0.5× 272 9.1k
Yohei Miyagi Japan 47 3.4k 1.1× 2.3k 1.4× 1.8k 1.2× 1.0k 0.8× 482 0.5× 324 8.2k
Martin Sattler United States 55 4.3k 1.3× 2.4k 1.4× 764 0.5× 3.1k 2.5× 1.5k 1.6× 151 8.6k
Gerard C. Blobe United States 52 6.6k 2.0× 3.0k 1.8× 1.4k 1.0× 399 0.3× 456 0.5× 135 10.4k
Kojo S.J. Elenitoba‐Johnson United States 47 3.7k 1.1× 2.0k 1.2× 679 0.5× 876 0.7× 1.1k 1.1× 190 7.9k
Matthew L. Sherman United States 41 3.2k 1.0× 2.1k 1.3× 671 0.5× 1.5k 1.2× 849 0.9× 134 7.8k
Alfredo Molinolo United States 60 5.0k 1.6× 3.8k 2.3× 1.7k 1.2× 340 0.3× 606 0.6× 171 10.2k
Sanford A. Stass United States 44 3.7k 1.1× 1.8k 1.1× 1.9k 1.3× 2.3k 1.8× 828 0.8× 143 7.5k
Bruce A. Keyt United States 31 5.1k 1.6× 950 0.6× 1.6k 1.1× 1.7k 1.3× 730 0.7× 79 9.9k

Countries citing papers authored by Fei Huang

Since Specialization
Citations

This map shows the geographic impact of Fei Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Huang more than expected).

Fields of papers citing papers by Fei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fei Huang. The network helps show where Fei Huang may publish in the future.

Co-authorship network of co-authors of Fei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Huang. A scholar is included among the top collaborators of Fei Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fei Huang. Fei Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Bo, Fei Huang, Rebecca L. Schneider, et al.. (2025). Dead-fallen shrubs improve soil quality and promote herb seedling settlement in an arid sandy land of northern China. Geoderma. 460. 117447–117447.
3.
Gao, Jing, Fei Huang, Miho Matsuda, et al.. (2024). Phosphorylation of Serine 536 of p65(RelA) Downregulates Inflammatory Responses. Inflammation. 48(3). 1499–1512. 1 indexed citations
4.
Gao, Limin, Chen Zhang, Naili Zhang, et al.. (2024). Serum response factor promoting axonal regeneration by activating the Ras–Raf‐Cofilin signaling pathway after the spinal cord injury. CNS Neuroscience & Therapeutics. 30(2). e14585–e14585. 3 indexed citations
5.
Vallejo, Milene C., Fei Huang, Samuel Payne, et al.. (2023). A proteomic meta-analysis refinement of plasma extracellular vesicles. Scientific Data. 10(1). 837–837. 16 indexed citations
7.
Pei, Jie, Fei Huang, Qiong Wu, et al.. (2019). Codon optimization of G protein enhances rabies virus-induced humoral immunity. Journal of General Virology. 100(8). 1222–1233. 12 indexed citations
8.
Chen, Ruiqing, Zeng Wang, Ruilong Lan, et al.. (2018). Influence of POLG on Radiosensitivity of Nasopharyngeal Carcinoma Cells. Cancer Biotherapy and Radiopharmaceuticals. 33(4). 146–154. 1 indexed citations
9.
Huang, Fei, Chang Han, Ann Greer, et al.. (2014). IRS2 Copy Number Gain, KRAS and BRAF Mutation Status as Predictive Biomarkers for Response to the IGF-1R/IR Inhibitor BMS-754807 in Colorectal Cancer Cell Lines. Molecular Cancer Therapeutics. 14(2). 620–630. 25 indexed citations
10.
Zhang, Yuqiang, Ting Tian, Luping Zhang, et al.. (2014). Mst3b Promotes Spinal Cord Neuronal Regeneration by Promoting Growth Cone Branching Out in Spinal Cord Injury Rats. Molecular Neurobiology. 51(3). 1144–1157. 9 indexed citations
11.
Huang, Fei, Lian Xu, & Shirin Khambata‐Ford. (2012). Correlation between Gene Expression of IGF-1R Pathway Markers and Cetuximab Benefit in Metastatic Colorectal Cancer. Clinical Cancer Research. 18(4). 1156–1166. 25 indexed citations
12.
Li, Dawei, Zhihai Peng, Huamei Tang, et al.. (2011). KLF4-Mediated Negative Regulation of IFITM3 Expression Plays a Critical Role in Colon Cancer Pathogenesis. Clinical Cancer Research. 17(11). 3558–3568. 94 indexed citations
13.
Hou, Xiaonan, Fei Huang, Joan M. Carboni, et al.. (2011). Drug Efflux by Breast Cancer Resistance Protein Is a Mechanism of Resistance to the Benzimidazole Insulin-Like Growth Factor Receptor/Insulin Receptor Inhibitor, BMS-536924. Molecular Cancer Therapeutics. 10(1). 117–125. 16 indexed citations
14.
Hou, Xiaonan, Fei Huang, Luciana F. Macedo, et al.. (2011). Dual IGF-1R/InsR Inhibitor BMS-754807 Synergizes with Hormonal Agents in Treatment of Estrogen-Dependent Breast Cancer. Cancer Research. 71(24). 7597–7607. 63 indexed citations
15.
Litzenburger, Beate C., Chad J. Creighton, Anna Tsimelzon, et al.. (2010). High IGF-IR Activity in Triple-Negative Breast Cancer Cell Lines and Tumorgrafts Correlates with Sensitivity to Anti–IGF-IR Therapy. Clinical Cancer Research. 17(8). 2314–2327. 109 indexed citations
17.
Moulder, Stacy, Kai Yan, Fei Huang, et al.. (2010). Development of Candidate Genomic Markers to Select Breast Cancer Patients for Dasatinib Therapy. Molecular Cancer Therapeutics. 9(5). 1120–1127. 27 indexed citations
18.
DiFeo, Analisa, Fei Huang, Jaya Sangodkar, et al.. (2009). KLF6-SV1 Is a Novel Antiapoptotic Protein That Targets the BH3-Only Protein NOXA for Degradation and Whose Inhibition Extends Survival in an Ovarian Cancer Model. Cancer Research. 69(11). 4733–4741. 38 indexed citations
19.
Huang, Fei, Ann Greer, Warren Hurlburt, et al.. (2008). The Mechanisms of Differential Sensitivity to an Insulin-like Growth Factor-1 Receptor Inhibitor (BMS-536924) and Rationale for Combining with EGFR/HER2 Inhibitors. Cancer Research. 69(1). 161–170. 137 indexed citations
20.
Huang, Fei, Karen A. Reeves, Xia Han, et al.. (2007). Identification of Candidate Molecular Markers Predicting Sensitivity in Solid Tumors to Dasatinib: Rationale for Patient Selection. Cancer Research. 67(5). 2226–2238. 274 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026